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OPENSEQ.org

A_palsy_qege

ID: 1497387166 Query Sequence

Download Alignment
We filter this alignment to remove positions that have > 75% gaps before running GREMLIN.
Length: 568 (533)
Sequences: 35947 (25434.7)
Seq/Len: 67.443
Nf(neff/√len): 1101.7

HHblits Results: (2016_02)
Sequences per length for each position, BEFORE the coverage/gap filter was applied

Legend: Dots above the red line, indicates positions where there is > 5 sequences per length (if visible, green bar = 20 seq/len). Point of this graphic is to give you an idea if resubmitting a sub-portion of your sequence might help increase the overall Seq/Len (which after applying the coverage filter is at: 67.443).

Sequences per length for each position, AFTER the coverage/gap filter was applied
Legend: If visible, the positions blocked in grey are regions that have > 75% gaps and were automatically trimmed and excluded in the GREMLIN analysis.

Trim query Generate MSA using: Filter MSA GREMLIN
Start: End: E-value: Iterations: Coverage: Remove gaps: Prior:

GREMLIN Results:
Residue pairs sorted by coevolution strength:

Legend: The darker and larger the blue dots, the higher strength in covariance. Below we provide the list of the top [1.5 x length] covarying residues with sequence seperation > 3. The i and j are positions as given in the input sequence.

ij Scaled score Prob
173_S190_E4.6661.00
410_V444_G3.9431.00
480_V527_H3.5541.00
192_S419_K3.4441.00
391_T413_K3.0541.00
54_E90_L3.0431.00
424_N427_A3.0061.00
70_P96_T3.0001.00
409_R439_H2.9981.00
50_Q90_L2.9961.00
120_L178_L2.9891.00
395_V411_Q2.8401.00
69_D124_P2.8371.00
445_F452_T2.8011.00
65_L93_F2.7541.00
72_F123_H2.6161.00
68_G172_D2.5471.00
59_G63_L2.4421.00
407_I443_L2.3801.00
459_D557_R2.3731.00
272_N275_F2.3651.00
477_A505_L2.3511.00
23_T50_Q2.3291.00
25_A29_T2.3101.00
56_V83_T2.2821.00
258_D262_R2.2771.00
396_N400_E2.2721.00
68_G419_K2.2111.00
116_H185_M2.1861.00
29_T32_L2.1761.00
192_S195_S2.1721.00
407_I454_T2.1691.00
462_I467_N2.1121.00
169_A172_D2.0951.00
425_D429_Q2.0921.00
67_A172_D2.0901.00
50_Q54_E2.0881.00
47_A51_G2.0621.00
33_T43_T2.0221.00
66_K69_D1.9601.00
120_L424_N1.9571.00
479_E531_K1.9241.00
25_A28_T1.9231.00
176_F422_Y1.9201.00
478_E485_T1.9151.00
88_C93_F1.9141.00
31_G47_A1.9011.00
411_Q439_H1.8911.00
108_N113_K1.8811.00
53_A90_L1.8791.00
508_T547_F1.8781.00
173_S419_K1.8631.00
326_V344_F1.8611.00
65_L69_D1.8471.00
122_E423_R1.8431.00
195_S337_S1.8381.00
307_P311_H1.8361.00
478_E486_S1.8291.00
394_I444_G1.8251.00
16_Q24_E1.8221.00
70_P94_V1.8031.00
70_P176_F1.7961.00
341_V392_I1.7891.00
178_L188_C1.7771.00
45_S48_Q1.7711.00
24_E28_T1.7691.00
213_D296_T1.7621.00
54_E58_T1.7461.00
506_F561_K1.7421.00
118_W123_H1.7331.00
213_D266_T1.7241.00
84_A127_L1.7171.00
17_T20_D1.6991.00
72_F98_V1.6861.00
87_A91_G1.6781.00
392_I412_I1.6771.00
52_D83_T1.6681.00
171_D194_R1.6631.00
264_R294_A1.6611.00
444_G453_L1.6561.00
556_E559_Q1.6521.00
461_I470_N1.6501.00
485_T549_K1.6491.00
205_A388_P1.6471.00
427_A430_E1.6461.00
403_P406_H1.6441.00
44_Q83_T1.6411.00
413_K437_W1.6401.00
506_F560_L1.6261.00
89_V174_V1.6251.00
445_F454_T1.6171.00
447_H452_T1.6111.00
340_V412_I1.6101.00
259_W263_Y1.6081.00
235_V238_G1.5981.00
246_T249_F1.5921.00
382_E452_T1.5891.00
426_E430_E1.5891.00
23_T90_L1.5841.00
171_D192_S1.5761.00
538_R541_P1.5751.00
73_F84_A1.5661.00
447_H450_R1.5631.00
115_H119_K1.5551.00
252_Q255_R1.5431.00
94_V173_S1.5391.00
56_V87_A1.5361.00
52_D80_A1.5281.00
418_M432_F1.5171.00
306_V309_T1.5141.00
44_Q79_H1.5131.00
195_S417_T1.5091.00
527_H531_K1.4991.00
120_L185_M1.4891.00
76_S129_D1.4821.00
463_I468_Y1.4811.00
71_V93_F1.4751.00
385_K450_R1.4641.00
484_E510_K1.4621.00
198_A389_G1.4611.00
443_L457_E1.4461.00
168_A172_D1.4351.00
446_L451_L1.4261.00
474_E488_V1.4261.00
61_R91_G1.4231.00
50_Q163_T1.4161.00
404_E446_L1.4141.00
396_N402_L1.3930.99
194_R415_P1.3900.99
393_R411_Q1.3850.99
311_H315_H1.3800.99
299_I330_A1.3780.99
533_G536_A1.3780.99
507_F543_Q1.3770.99
460_M469_H1.3770.99
190_E422_Y1.3760.99
271_P275_F1.3750.99
98_V114_L1.3740.99
427_A431_V1.3660.99
393_R401_L1.3620.99
33_T36_V1.3610.99
476_I479_E1.3610.99
26_A50_Q1.3500.99
214_V265_A1.3460.99
476_I531_K1.3450.99
69_D93_F1.3420.99
382_E450_R1.3400.99
343_S450_R1.3390.99
121_L178_L1.3350.99
536_A539_I1.3230.99
65_L71_V1.3210.99
36_V263_Y1.3210.99
330_A339_A1.3210.99
199_N338_S1.3120.99
459_D471_Y1.3100.99
255_R258_D1.3040.99
129_D132_L1.3030.99
386_P392_I1.2980.99
383_L453_L1.2960.99
22_L26_A1.2950.99
559_Q562_T1.2910.99
214_V240_E1.2870.99
410_V453_L1.2870.99
390_I416_T1.2810.99
72_F118_W1.2810.99
96_T121_L1.2790.99
393_R437_W1.2760.99
300_N305_V1.2710.99
37_N79_H1.2710.99
177_I334_S1.2700.99
521_S525_K1.2680.99
190_E419_K1.2630.99
71_V88_C1.2620.99
19_Q193_H1.2620.99
268_T295_M1.2610.99
50_Q53_A1.2600.99
170_P194_R1.2580.99
267_K297_C1.2560.99
297_C328_R1.2490.99
36_V43_T1.2490.99
399_H411_Q1.2460.98
216_L265_A1.2420.98
49_L86_W1.2380.98
482_G523_H1.2290.98
103_T106_E1.2270.98
190_E420_G1.2260.98
116_H120_L1.2210.98
213_D267_K1.2180.98
53_A87_A1.2140.98
175_F191_H1.2050.98
407_I445_F1.2050.98
392_I444_G1.1990.98
119_K185_M1.1980.98
474_E557_R1.1970.98
343_S382_E1.1970.98
189_V418_M1.1960.98
42_L52_D1.1960.98
249_F255_R1.1960.98
273_F303_E1.1920.98
116_H178_L1.1890.98
44_Q49_L1.1840.98
191_H418_M1.1820.98
526_S530_T1.1810.98
59_G62_A1.1780.98
52_D55_R1.1690.97
297_C326_V1.1690.97
198_A415_P1.1640.97
199_N339_A1.1630.97
49_L83_T1.1600.97
51_G55_R1.1600.97
210_T213_D1.1540.97
333_M438_F1.1540.97
276_A279_N1.1520.97
544_K547_F1.1470.97
176_F188_C1.1470.97
550_T556_E1.1440.97
260_M294_A1.1440.97
22_L86_W1.1420.97
392_I410_V1.1400.97
269_W339_A1.1390.97
22_L50_Q1.1270.97
487_F547_F1.1260.97
16_Q20_D1.1130.96
271_P274_A1.1120.96
336_I340_V1.1120.96
199_N337_S1.1110.96
387_I390_I1.1050.96
191_H337_S1.1010.96
402_L406_H1.0980.96
247_D250_I1.0960.96
393_R413_K1.0960.96
527_H530_T1.0940.96
394_I402_L1.0920.96
547_F555_I1.0880.96
409_R457_E1.0850.96
75_F84_A1.0850.96
48_Q51_G1.0840.96
102_P105_R1.0820.96
394_I451_L1.0810.95
471_Y474_E1.0780.95
495_M498_S1.0750.95
548_P560_L1.0750.95
488_V505_L1.0730.95
414_G417_T1.0720.95
270_A275_F1.0680.95
391_T435_D1.0650.95
411_Q433_Q1.0650.95
174_V193_H1.0640.95
476_I528_I1.0610.95
219_M225_G1.0600.95
179_T189_V1.0590.95
301_G339_A1.0590.95
433_Q439_H1.0540.95
275_F279_N1.0530.95
230_F234_N1.0530.95
49_L53_A1.0530.95
80_A129_D1.0500.94
23_T54_E1.0480.94
20_D23_T1.0480.94
480_V523_H1.0470.94
191_H195_S1.0450.94
70_P422_Y1.0450.94
21_V201_K1.0440.94
305_V310_I1.0440.94
522_Q526_S1.0420.94
42_L80_A1.0420.94
480_V524_I1.0380.94
484_E508_T1.0360.94
128_T132_L1.0330.94
57_L90_L1.0330.94
269_W330_A1.0320.94
412_I440_T1.0300.94
305_V327_I1.0300.94
341_V451_L1.0260.94
81_M221_L1.0240.93
397_H457_E1.0230.93
19_Q89_V1.0230.93
97_L177_I1.0230.93
525_K529_A1.0190.93
214_V241_Q1.0160.93
295_M298_M1.0120.93
30_N47_A1.0090.93
238_G241_Q1.0080.93
72_F121_L1.0000.92
56_V84_A1.0000.92
84_A88_C1.0000.92
Legend: Only predictions with Scaled Score > 1 are listed. For all 3L/2 predictions, click on one of the links below.
Prob = P(contact | scaled_score, seq/len).
Scaled Score = (raw_score/average(raw_scores)).
NEW Features
HHsearch Results: (06Aug15)
GREMLIN results overlayed on top 10 PDB hits:
Legend: Blue filled circles are GREMLIN results (Scaled Score > 1). The grey/red filled circles underneath are pdb residue contacts (min distance < 5 Angstroms). The shade of the circles is based on 10 HHsearch results which uses the overall probability and per-position alignment confidence. Inter oligomeric contacts in the pdb are in shades of red.
PDB M Cov P(%) HHΔ  
4r0mB20.95071000.124Contact Map
3tsyA10.72891000.162Contact Map
2vsqA10.88381000.177Contact Map
3etcA20.8681000.181Contact Map
3ni2A10.89081000.181Contact Map
3g7sA20.84331000.188Contact Map
3kxwA10.95071000.19Contact Map
2d1sA10.89441000.19Contact Map
1amuA20.86971000.192Contact Map
1pg4A20.9191000.193Contact Map
M = number of chains, if homo-oligomer
Cov = coverage of hit
P(%) = probability

Sequence Conservation (Image Generated using WebLogo v3)
Legend: Color is used to show Hydrophobicity (Blue: Hydrophilic, Green: Neutral and Black: Hydrophobic). Amount of gaps is represented by width.

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